Hybrid Quantum Algorithms for Pattern Recognition

hace 2 semanas


San Sebastián, Guipúzcoa, España Somm Excellence Alliance A tiempo completo

The aim if this project is to explore new ideas in the field of quantum and quantum-inspired (tensor network) machine learning and optimization methods to develop hybrid algorithms (classical & quantum) for pattern recognition and artificial vision.

This includes, among others, exploring and developing more efficient algorithms for anomaly detection, among others, improving the overall performance in time and energy cost, as well as in accuracy.

The hybrid algorithms will make use of different QPUs in combination with state of the art Tensor Network methods. The research will be carried in collaboration with Multiverse Computing, in the context of the QCDI project.

It's required a PhD in quantum computing or quantum-inspired numerical simulation methods.


DIPC is a research center whose mission is to perform and catalyze cutting-edge research in physics and related disciplines, as well as to convey scientific culture to society.

Located in Donostia / San Sebastian (Basque Country, Spain), DIPC was born from a strategic alliance of both public institutions and private companies.

Since 2008 DIPC is a 'Basque Excellence Research Center' (BERC) recognized by the Basque Government's Department of Education. In 2019, DIPC was also recognized as a "Severo Ochoa" Excellence Center by the Spanish Research Agency.

The research will be carried at the DIPC group of Prof. Román Orús, and in collaboration with the research and services teams of Multiverse Computing.

Reference letters are welcome but not indispensable.

Reference: 2023/59

Application deadline: 15/06/2023

Funds:
This project has received funding from the MCIN program "Severo Ochoa", under reference AEI/ CEX S.

Deadline:
June 15, 2023

Job category:
Postdoc

Area:
Maths, Experimental Sciences and Engineering

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